AMA with Thomas Roch
summary
Reactive programming here claims concrete wins: switchMap cancels previous requests so fetches stop automatically, debounce analytics by 1s to avoid noisy keypress data, and observables plus operators like map and distinctUntilChanged compress imperative timeout and promise-tracking boilerplate into readable one-line steps. Effects emit values for handlers (examples: localStorage writes, batched analytics) and can be co‑located with components. Integration details include observing whole Redux state (use selectors to slice) and composing observables to limit recomputation.
AI-written summary · about
chapters (4)
- 0:00Start
- 12:44Is There any Reactive Implementation of Redux
- 20:33Why I Should Represent Components as Functions Functions Are Stateless by Definition Instead Components Have State and Props
- 25:04Can You Mix Redux with Refract
related talks
28mReactive all the Things
42mConquering Time with Functional Reactive Programming
28mReacting to change
28mReactive Programming Demystified Drink the Kool-Aid
49mManaging Async With Observables
54mReactive Angular 2
32mMastering Reactive Programming with RxJS
34mObservables for Handling Asynchrony Elegantly